PENDUGAAN PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE LASSO UNTUK ANALISIS SUMBER PENERANGAN UTAMA DI PEKANBARU

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dc.contributor.authorGobel, Christy
dc.contributor.authorHarison, Harison
dc.date.accessioned2022-01-17T02:39:34Z
dc.date.available2022-01-17T02:39:34Z
dc.date.issued2021-07
dc.description.abstractThe main sources of lighting can be classified into three groups, namely power utility with meter, power utility without meter, and not electrical lighting. Based on the results of the National Socio-economic Survey (Susenas) 2019 conducted by the Central Bureau of Statistics in Pekanbaru City, it is recorded that as many as 0.9% of the family heads' homes in Pekanbaru city still do not use electricity. This study aims to model and know the factors that are suspected to influence the difference in the status of the main sources of lighting in Pekanbaru City in 2019 using the LASSO method. The test results showed there were four significant variables, namely the highest education attained by head of household, the status of home ownership, the status of other home ownership , and the number of family membersen_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10383
dc.language.isoenen_US
dc.subjectMain source of lightingen_US
dc.subjectMain source of lightingen_US
dc.subjectMain source of lightingen_US
dc.subjectelectricityen_US
dc.subjectlassoen_US
dc.subjectpekanbaruen_US
dc.subjectsusenasen_US
dc.subjectsusenasen_US
dc.titlePENDUGAAN PARAMETER REGRESI LOGISTIK MULTINOMIAL MENGGUNAKAN METODE LASSO UNTUK ANALISIS SUMBER PENERANGAN UTAMA DI PEKANBARUen_US
dc.typeArticleen_US

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